We study how MIM models perform on the geometric and motion tasks that require the ability to localize the objects and are less dependent on semantic information. We select several benchmarks, such as pose estimation on COCO [1]} and CrowdPose [2]}, depth estimation on NYUv2 [3]} and KITTI [4]}, and video object tracking on GOT10k [5]}, TrackingNet [6]}, and LaSOT [7]}.
